Page 362 - Pipelines and Risers
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Pipeline Inspection, Maintenance and Repair                           333


        mm. The smallest defect to be detected and properly sized has a width equal to the sensor
        spacing and a length equal to about three times the axial sampling distance.


        Within the intelligent pigging industry, a distinction is made between low resolution and high
        resolution MFL pigs refemng to the quality of measurement. However, it should be noted that
        a proper definition on low and high resolution is non-existent. Therefore the fact that an MFL
        pig is called high resolution does not guarantee a good performance.

        Many  MFL  pigs  contain  additional sensors to  discriminate between  internal and  external
        defects and to get a measure of  wall  thickness changes. InternaVexternal discrimination is
        done by  means of  sensors that are only sensitive to internal defects. Most contractors apply
        weak magnets combined with a magnetic field sensor placed in a second sensor ring outside
        the magnetic yoke that measure the decrease in magnetic field when the lift off distance of the
        magnet to the pipe wall increases by internal metal loss defects. Some contractors make use of
        eddy current proximity probes that may be placed within the magnetic yokes.


        A measure of the wall thickness is obtained by measuring the axial background magnetic field
        by means of Hall effect sensors. The axial background magnetic field is related to pipe wall
        magnetization and thus pipe wall thickness.

        Data Analysis
        MFL pigs record a large amount of  data that needs to be analyzed. Most contractors have
        developed  software that  automatically analyze the  data  and  detect  the  relevant  features.
        However, manual analysis and data checks are still necessary to obtain  the most  accurate
        defect data.


        The  relation  between  Mm,  signals  and  defect  dimensions  is  indirect  and  non  linear.
        Consequently  good  data  analysis  algorithms  are  of  importance.  Defect  length  can  be
        accurately determined from  the  start  and  end  of  the  MFL  signals.  Defect  width  can  be
        determined with limited accuracy from the circumferential signal distribution as measured by
        adjacent sensors. Defect depth is related to the integrated signal amplitudes but corrections
        have to be made for defect length and length / width aspect ratios. For defects with a length
        above 3t (t = wall thickness) or 30 mm, this relation tends to become linear. The relationship
        between  metal  loss  defect  depth  and  MFL  signals becomes  more  non  linear  and  length
        dependent below a defect length of 3t or 30 mm for which reason defect sizing accuracy will
        be of lesser quality.


        Capabilities and Limitations
        Defect detectability levels are highly dependent on the magnetization level in the pipe wall,
        the MFL noise as generated by the pipe and the geometry metal loss defect


        The pipe material make influence magnetic noise levels. In particular seamless pipe creates a
        high  magnetic noise  level whilst on  the other hand  the ERW manufacturing process gives
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